LangChain in your Pocket

Table of Contents

1. Introduction
2. Hello World
3. Different LangChain Modules
4. Models and Prompts
5. Chains
6. Agents
7. OutputParsers and Memory
8. Callbacks
9. RAG Framework and Vector Databases
10. LangChain for NLP problems
11. Handling LLM Hallucinations
12. Evaluating LLMs
13. Advanced Prompt Engineering
14. Autonomous AI agents
15. LangSmith and LangServe
16. Additional Features